Deep-Learning paper notes

SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS (IEEE) 中文Summary整理
Compressing Neural Networks with the Hashing Trick 中文Summary重點整理
Matching Networks for One Shot Learning (Google DeepMind) 中文Summary重點整理
Meta-learning with memory-augmented neural networks (Google DeepMind) 中文Summary重點整理
An unsupervised hierarchical feature learning framework for one-shot image recognition (IEEE,2013) *非深度學習中文Summary重點整理
Human-level concept learning through probabilistic program induction (Science,2015) *非深度學習中文Summary重點整理

Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
images		images
An unsupervised hierarchical feature learning framework for one-shot image recognition.md		An unsupervised hierarchical feature learning framework for one-shot image recognition.md
Compressing Neural Networks with the Hashing Trick.md		Compressing Neural Networks with the Hashing Trick.md
Human-level concept learning through probabilistic program induction.md		Human-level concept learning through probabilistic program induction.md
Matching Networks for One Shot Learning.md		Matching Networks for One Shot Learning.md
Meta-learning with memory-augmented neural networks.md		Meta-learning with memory-augmented neural networks.md
README.md		README.md
Speech Recognition with Deep Recurrent Neural Networks.md		Speech Recognition with Deep Recurrent Neural Networks.md

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